Security and privacy concerns in assisted living environments

P. Condado, Fernando G. Lobo
{"title":"Security and privacy concerns in assisted living environments","authors":"P. Condado, Fernando G. Lobo","doi":"10.3233/scs-230015","DOIUrl":null,"url":null,"abstract":"Assisted living environments use interconnected devices to assist people with limitations in performing daily activities. In these environments, human activity recognition is critical for detecting abnormal situations, such as falls or health problems, and providing appropriate assistance to inhabitants. Despite their advantages, assisted living environments raise security and privacy concerns due to the collection and storage of sensitive data about their inhabitants. This paper addresses security and privacy concerns related to intelligent environments designed to assist individuals with limitations. It discusses the weaknesses of IoT devices and domotic technologies and presents research conducted by authors to mitigate these issues. This study shows that, despite hardware constraints, it is possible to design a relatively secure assisted living environment that prevents hacker attacks and data leaks. Additionally, it is essential to comprehend which information should be shared with external entities, such as health care services, and when to share it to ensure the inhabitants’ well-being. Our main goal has been to gather knowledge to improve the privacy and data protection of technology-rich assisted living environments implemented to assist people with limitations and their family members in performing their daily tasks.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Smart Cities Soc.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/scs-230015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Assisted living environments use interconnected devices to assist people with limitations in performing daily activities. In these environments, human activity recognition is critical for detecting abnormal situations, such as falls or health problems, and providing appropriate assistance to inhabitants. Despite their advantages, assisted living environments raise security and privacy concerns due to the collection and storage of sensitive data about their inhabitants. This paper addresses security and privacy concerns related to intelligent environments designed to assist individuals with limitations. It discusses the weaknesses of IoT devices and domotic technologies and presents research conducted by authors to mitigate these issues. This study shows that, despite hardware constraints, it is possible to design a relatively secure assisted living environment that prevents hacker attacks and data leaks. Additionally, it is essential to comprehend which information should be shared with external entities, such as health care services, and when to share it to ensure the inhabitants’ well-being. Our main goal has been to gather knowledge to improve the privacy and data protection of technology-rich assisted living environments implemented to assist people with limitations and their family members in performing their daily tasks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
辅助生活环境中的安全和隐私问题
辅助生活环境使用相互连接的设备来帮助有日常活动限制的人。在这些环境中,人类活动识别对于发现异常情况至关重要,例如跌倒或健康问题,并向居民提供适当的援助。尽管辅助生活环境有其优势,但由于收集和存储有关其居民的敏感数据,因此引起了安全和隐私问题。本文讨论了与智能环境相关的安全和隐私问题,旨在帮助有局限性的个人。它讨论了物联网设备和国内技术的弱点,并介绍了作者为缓解这些问题而进行的研究。这项研究表明,尽管有硬件限制,但可以设计一个相对安全的辅助生活环境,防止黑客攻击和数据泄露。此外,必须了解哪些信息应与外部实体(如医疗保健服务)共享,以及何时共享以确保居民的福祉。我们的主要目标是收集知识,以改善技术丰富的辅助生活环境的隐私和数据保护,这些环境旨在帮助残疾人士及其家庭成员执行日常任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Preface to the Journal of Smart Cities and Society issue 2(2) Smart e-waste management system utilizing Internet of Things and Deep Learning approaches Security and privacy concerns in assisted living environments Categorization of crowd-sensing streaming data for contextual characteristic detection Preface to the Journal of Smart Cities and Society issue 2(1)
wanfang
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1